Jitterbit vs. Amazon Redshift

This is a great tool for bringing data out of your locked, internal systems and getting it into the cloud. It meshes well with Salesforce and is fairly easy to use, helping the transition from other older, more complex tools into a more modern environment. It has lots of competition in this space and some are better than others, but if your data is straight forward and you know it well, Jitterbit will get the job done. If you are not as close or comfortable with your data and need to do some wildly complex migrations, there might be better packages out there for you.

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If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)

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• UI is super easy to understand with a low learning curve so admins can figure it out and maintain it without breaking anything.
• It's FREE! There's a paid version too but I like that you can use most of the features for free and they're not pushy with buying.
• There's a great user community that you can google and ask any questions. Most problems I've encountered have been posted and answered already.

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• [Amazon] Redshift has Distribution Keys. If you correctly define them on your tables, it improves Query performance. For instance, we can define Mapping/Meta-data tables with Distribution-All Key, so that it gets replicated across all the nodes, for fast joins and fast query results.
• [Amazon] Redshift has Sort Keys. If you correctly define them on your tables along with above Distribution Keys, it further improves your Query performance. It also has Composite Sort Keys and Interleaved Sort Keys, to support various use cases
• [Amazon] Redshift is forked out of PostgreSQL DB, and then AWS added "MPP" (Massively Parallel Processing) and "Column Oriented" concepts to it, to make it a powerful data store.
• [Amazon] Redshift has "Analyze" operation that could be performed on tables, which will update the stats of the table in leader node. This is sort of a ledger about which data is stored in which node and which partition with in a node. Up to date stats improves Query performance.

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• Migrating operations from QA to Production work well for initial deployment, however, when migrating an update to an existing job to production, sometimes certain project items are duplicated. This is not the end of the world... the duplicates can be removed, but would be nice if it was not required.
• I have not found a way to trap under-the-covers SOAP errors (for example, when a query you are running against Salesforce takes too long). You get a warning error in the operation log that the job only pulled a "partial" file, but it does not fail.

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• We've experienced some problems with hanging queries on Redshift Spectrum/external tables. We've had to roll back to and old version of Redshift while we wait for AWS to provide a patch.
• Redshift's dialect is most similar to that of PostgreSQL 8. It lacks many modern features and data types.
• Constraints are not enforced. We must rely on other means to verify the integrity of transformed tables.

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I have been evaluating other tools as a continuous improvement practice. I would like something that would be easier to use for a non-technical user. I work for a small organization and have no back-up for Jitterbit if something happens to me. We don't have the technically savvy employees to understand it.

Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.

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They have some of the best support of any software vendor that we use. They always get our issues resolved quickly

The support was great and helped us in a timely fashion. We did use a lot of online forums as well, but the official documentation was an ongoing one, and it did take more time for us to look through it. We would have probably chosen a competitor product had it not been for the great support

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Evaluated Dell Boomi and Celigo as alternatives prior to purchasing Jitterbit. We went with Jitterbit at that time because we could handle all changes ourselves without any assistance from Jitterbit, and we liked their size and nimbleness. Dell Boomi was too big for us, and Celigo at that time did not have a self-service model. Every change had to go through them (although that has since changed). We were not in a position to be able to wait for someone to make changes for us given the rate of change within the business.

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Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS).
Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again.
Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.

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Redshift is relatively cheaper tool but since the pricing is dynamic, there is always a risk of exceeding the cost. Since most of our team is using it as self serve and there is no continuous tracking by a dedicated team, it really needs time & effort on analyst's side to know how much it is going to cost.

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• The time it takes to connect systems has reduced by orders of magnitude. Previously, we would custom-develop connectors between various systems and they would all be managed by different vendors. With Jitterbit speed-to-deploy and the efficiency gained by managing all connections in one dashboard has been the greatest piece of the ROI.

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• Our company is moving to the AWS infrastructure, and in this context moving the warehouse environments to Redshift sounds logical regardless of the cost.
• Development organizations have to operate in the Dev/Ops mode where they build and support their apps at the same time.
• Hard to estimate the overall ROI of moving to Redshift from my position. However, running Redshift seems to be inexpensive compared to all the licensing and hardware costs we had on our RDBMS platform before Redshift.

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